Singapore Manufactured Products Price Index, By Commodity Section (1-Digit Level), Base Year 2023 = 100, Quarterly
What this data shows
Published by Singapore Department of Statistics. 11 records. Fields include Data Series, 2026 2Q, 2026 1Q, 2025 4Q (211 columns in total). Covers 1974-01-01 to 2026-06-30. Last updated 2026-09-08.
Description
Quarterly Singapore manufactured products price index by commodity section at the 1-digit level, rebased to 2023 = 100, covering 1974 through the first quarter of 2026. The 1-digit breakdown gives a broad view of factory-gate price trends across major manufacturing groups, complementing the more detailed 3-digit series. Economists and industry analysts use it to monitor producer price inflation, adjust contract values, and deflate manufacturing output in Singapore. Adapted from SingStat TableBuilder TS/M213621.
Official description
Source: SINGAPORE DEPARTMENT OF STATISTICS Data Last Updated: 28/08/2026 Update Frequency: Quarterly Adapted from: https://tablebuilder.singstat.gov.sg/table/TS/M213621
- Last updated
- Coverage
- 1974-01-01 – 2026-06-30
- Rows
- 11
- Columns
- 211
Chart
Values are summed where multiple rows share the same category.
Data
| Data Series | 2026 2Q | 2026 1Q | 2025 4Q | 2025 3Q | 2025 2Q | 2025 1Q | 2024 4Q | 2024 3Q | 2024 2Q | 2024 1Q | 2023 4Q |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Singapore Manufactured Products Price Index - Overall Items | 133.600000 | 115.770000 | 102.918000 | 101.145000 | 102.915000 | 106.304000 | 99.015000 | 96.373000 | 101.506000 | 101.209000 | 101.614000 |
| Food & Live Animals | 104.966000 | 106.095000 | 106.842000 | 107.075000 | 105.299000 | 105.245000 | 104.457000 | 102.362000 | 103.563000 | 100.769000 | 100.590000 |
| Beverages & Tobacco | 98.800000 | 98.558000 | 97.676000 | 97.676000 | 97.161000 | 96.465000 | 95.398000 | 96.427000 | 98.468000 | 98.468000 | 100.076000 |
| Crude Materials (Excl Fuels) | 96.066000 | 92.541000 | 94.646000 | 97.783000 | 100.672000 | 104.520000 | 107.643000 | 104.644000 | 101.729000 | 99.448000 | 95.574000 |
| Mineral Fuels, Lubricants & Related Materials | 125.944000 | 98.865000 | 83.259000 | 83.018000 | 81.304000 | 91.572000 | 88.241000 | 89.203000 | 97.560000 | 98.042000 | 102.291000 |
| Animal & Vegetable Oils Fats & Waxes | 116.055000 | 112.051000 | 115.314000 | 112.878000 | 111.819000 | 106.181000 | 97.299000 | 93.591000 | 92.797000 | 92.736000 | 94.093000 |
| Chemicals & Chemical Products | 113.699000 | 90.979000 | 87.839000 | 88.624000 | 90.665000 | 94.701000 | 94.860000 | 96.335000 | 99.936000 | 99.134000 | 99.820000 |
| Manufactured Goods | 97.531000 | 95.817000 | 95.652000 | 95.457000 | 96.096000 | 97.212000 | 97.111000 | 97.906000 | 99.040000 | 98.985000 | 99.529000 |
| Machinery & Transport Equipment | 149.664000 | 132.230000 | 113.621000 | 110.464000 | 113.973000 | 117.095000 | 104.903000 | 98.966000 | 104.367000 | 103.549000 | 102.273000 |
| Miscellaneous Manufactured Articles | 109.279000 | 107.725000 | 108.155000 | 105.270000 | 103.314000 | 94.360000 | 89.985000 | 91.316000 | 94.348000 | 97.855000 | 101.267000 |
Preview shows 10 rows and 12 columns. Use the table search or download the CSV for the full data.
Columns
| Column | Type | Categorical |
|---|---|---|
| Data Series | Text | No |
| 2026 2Q | Numeric | No |
| 2026 1Q | Numeric | No |
| 2025 4Q | Numeric | No |
| 2025 3Q | Numeric | No |
| 2025 2Q | Numeric | No |
| 2025 1Q | Numeric | No |
| 2024 4Q | Numeric | No |
| 2024 3Q | Numeric | No |
| 2024 2Q | Numeric | No |
| 2024 1Q | Numeric | No |
| 2023 4Q | Numeric | No |
| 2023 3Q | Numeric | No |
| 2023 2Q | Numeric | No |
| 2023 1Q | Numeric | No |
| 2022 4Q | Numeric | No |
| 2022 3Q | Numeric | No |
| 2022 2Q | Numeric | No |
| 2022 1Q | Numeric | No |
| 2021 4Q | Numeric | No |
| 2021 3Q | Numeric | No |
| 2021 2Q | Numeric | No |
| 2021 1Q | Numeric | No |
| 2020 4Q | Numeric | No |
| 2020 3Q | Numeric | No |
| 2020 2Q | Numeric | No |
| 2020 1Q | Numeric | No |
| 2019 4Q | Numeric | No |
| 2019 3Q | Numeric | No |
| 2019 2Q | Numeric | No |
| 2019 1Q | Numeric | No |
| 2018 4Q | Numeric | No |
| 2018 3Q | Numeric | No |
| 2018 2Q | Numeric | No |
| 2018 1Q | Numeric | No |
| 2017 4Q | Numeric | No |
| 2017 3Q | Numeric | No |
| 2017 2Q | Numeric | No |
| 2017 1Q | Numeric | No |
| 2016 4Q | Numeric | No |
| 2016 3Q | Numeric | No |
| 2016 2Q | Numeric | No |
| 2016 1Q | Numeric | No |
| 2015 4Q | Numeric | No |
| 2015 3Q | Numeric | No |
| 2015 2Q | Numeric | No |
| 2015 1Q | Numeric | No |
| 2014 4Q | Numeric | No |
| 2014 3Q | Numeric | No |
| 2014 2Q | Numeric | No |
| 2014 1Q | Numeric | No |
| 2013 4Q | Numeric | No |
| 2013 3Q | Numeric | No |
| 2013 2Q | Numeric | No |
| 2013 1Q | Numeric | No |
| 2012 4Q | Numeric | No |
| 2012 3Q | Numeric | No |
| 2012 2Q | Numeric | No |
| 2012 1Q | Numeric | No |
| 2011 4Q | Numeric | No |
Showing the first 60 of 211 columns. Download the CSV for the full schema.